102 computational-physics-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich
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: PhD in CS/ML/medical informatics, strong publication record, and hands-on experience with generative models in medical imaging. Postdoctoral Research Associate (f/m/d) EU Research Project TWIN-X Full
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scientist with a focus on data and AI Science to join us as soon as possible. Your qualifications PhD in Computer Science, Mathematics, Physics or related field Experience in applied data science and machine
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bridging physics and engineering with chemistry, biology and medicine there are highly diverse opportunities to innovate, collaborate and excel. We support career development, continuing education and
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underrepresented groups to apply. The review process is on a rolling basis. Please refer to the “Application Procedure” section for details on how to apply. Current Openings Safety, Performance and Reliability in
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, Python, or MATLAB. · have solid spoken and written English communication skills. Knowledge of German is not required. Prior knowledge of quantum physics is not required, but may be an advantage. Employment
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. The project is jointly supervised by Prof. Dr. Ralf Jänicke (Institute of Applied Mechanics, Technische Universität Braunschweig) and PD Dr. Stefan Kollmannsberger (Chair of Computational Modeling and
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As a suitable candidate, you hold a very good PhD or master´s degree in industrial engineering, process engineering, chemistry, computer science or similar disciplines. You think analytically, work
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master’s degree in mathematics, theoretical computer science, machine learning, or a closely related field. Strong background in discrete optimization, algorithms, or reinforcement learning. Good programming
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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adults actively seek, select, and evaluate information to learn about the world. The lab combines behavioral, computational, and cross-cultural approaches to study curiosity, exploration, and reasoning